Ricardo B. C. Prudêncio

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Genetic Programming To Evolve

Item Response Theory

Top Venues

Publications

Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio
Trusting My Predictions: On the Value of Instance-Level Analysis. ACM Comput. Surv. 56 (7) (2024)
Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota
Assessor Models with a Reject Option for Soccer Result Prediction. ICMLA (2023)
Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrasio A. Lima Neto, Ricardo B. C. Prudêncio
-IRT with Enhanced Discrimination Estimation. CoRR (2023)
Patrícia Drapal, Jullya Clemente, Dailys Maite Aliaga Reyes, Starch Melo de Souza, Anthony Lins, Ricardo B. C. Prudêncio
A Clustering-Based Method to Anomaly Detection in Thermal Power Plants. IJCNN (2022)
Chaina Santos Oliveira, João V. C. Moraes, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
A two-level Item Response Theory model to evaluate speech synthesis and recognition. Speech Commun. 137 (2022)
Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. BRACIS (1) (2022)
Chaina Oliveira, Ricardo B. C. Prudêncio
Item Response Theory to Evaluate Speech Synthesis: Beyond Synthetic Speech Difficulty. EBeM@IJCAI (2022)
João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
Evaluating regression algorithms at the instance level using item response theory. Knowl. Based Syst. 240 (2022)
Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle P. Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves
Explanation-by-Example Based on Item Response Theory. BRACIS (1) (2022)
Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti
Label noise detection under the noise at random model with ensemble filters. Intell. Data Anal. 26 (5) (2022)
Thiago B. R. Silva, Nina I. Verslype, André C. A. Nascimento, Ricardo B. C. Prudêncio
Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering. BRACIS (1) (2022)
Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle P. Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves
Explanation-by-Example Based on Item Response Theory. CoRR (2022)
Kecia G. Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti
Label noise detection under the Noise at Random model with ensemble filters. CoRR (2021)
Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves
Data vs classifiers, who wins? CoRR (2021)
Mailton Carvalho, Flávia A. Barros, Ricardo B. C. Prudêncio
A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment. SBES (2021)
Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio
ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. 180 (2021)
Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves
Decoding machine learning benchmarks. CoRR (2020)
Lucas F. F. Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves
Decoding Machine Learning Benchmarks. BRACIS (2) (2020)
Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio
Item Response Theory to Estimate the Latent Ability of Speech Synthesizers. ECAI (2020)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio
A novel context-free grammar for the generation of PSO algorithms. Nat. Comput. 19 (3) (2020)
Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento
A Many-Objective optimization Approach for Complexity-based Data set Generation. CEC (2020)
Regina R. Parente, Ricardo B. C. Prudêncio
One-Class Classification for Selecting Synthetic Datasets in Meta-Learning. IJCNN (2020)
José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena
Measuring Instance Hardness Using Data Complexity Measures. BRACIS (2) (2020)
João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
Item Response Theory for Evaluating Regression Algorithms. IJCNN (2020)
Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS (2019)
Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
$β^3$-IRT: A New Item Response Model and its Applications. AISTATS (2019)
Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo
Item response theory in AI: Analysing machine learning classifiers at the instance level. Artif. Intell. 271 (2019)
Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz
CD-CARS: Cross-domain context-aware recommender systems. Expert Syst. Appl. 135 (2019)
Ricardo B. C. Prudêncio
Cost Sensitive Evaluation of Instance Hardness in Machine Learning. ECML/PKDD (2) (2019)
Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
-IRT: A New Item Response Model and its Applications. CoRR (2019)
Ana Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio
Data complexity meta-features for regression problems. Mach. Learn. 107 (1) (2018)
Ivan Santos, Joelson Araújo, Cloves Lima, Ricardo B. C. Prudêncio, Flávia A. Barros
AVS: An approach to identifying and mitigating duplicate bug reports. SBSI (2018)
Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio
Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors. IJCNN (2018)
Alysson Bispo, Ricardo B. C. Prudêncio, Douglas Veras da Silva
Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction. BRACIS (2018)
Joao Emanoel Ambrosio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento
Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks. New Gener. Comput. 36 (1) (2018)
Diana C. Cavalcanti, Ricardo B. C. Prudêncio
Unsupervised Aspect Term Extraction in Online Drugs Reviews. FLAIRS Conference (2017)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio
Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming. Appl. Soft Comput. 60 (2017)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa
H3AD: A hybrid hyper-heuristic for algorithm design. Inf. Sci. 414 (2017)
Diana C. Cavalcanti, Ricardo B. C. Prudêncio
Aspect-Based Opinion Mining in Drug Reviews. EPIA (2017)
Joao Emanoel Ambrosio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento
A Comparative Study of Group Profiling Techniques in Co-authorship Networks. BRACIS (2016)
José Hernández-Orallo, Adolfo Martínez Usó, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach, Chowdhury Farhan Ahmed, Nicolas Lachiche
Reframing in context: A systematic approach for model reuse in machine learning. AI Commun. 29 (5) (2016)
Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares
Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing 194 (2016)
Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
Progress in intelligent systems design. Neurocomputing 180 (2016)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio
A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms. BRACIS (2016)
Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks 80 (2016)
Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo
Making Sense of Item Response Theory in Machine Learning. ECAI (2016)
André C. A. Nascimento, Ricardo B. C. Prudêncio, Ivan G. Costa
A multiple kernel learning algorithm for drug-target interaction prediction. BMC Bioinform. 17 (2016)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio
Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms. BRACIS (2016)
Danilo C. G. de Lucena, Ricardo B. C. Prudêncio
Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms. BRACIS (2015)
Reem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach
Versatile Decision Trees for Learning Over Multiple Contexts. ECML/PKDD (1) (2015)
Douglas Veras da Silva, Thiago Monteiro Prota, Alysson Bispo, Ricardo B. C. Prudêncio, Carlos Ferraz
A literature review of recommender systems in the television domain. Expert Syst. Appl. 42 (22) (2015)
Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz, Alysson Bispo, Thiago Monteiro Prota
Context-Aware Techniques for Cross-Domain Recommender Systems. BRACIS (2015)
Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem. ESANN (2015)
Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros
A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection. BRACIS (2014)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing 143 (2014)
Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros
A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection. IEEE Congress on Evolutionary Computation (2014)
Andre R. S. Lopes, Ricardo B. C. Prudêncio, Byron L. D. Bezerra
A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria. IJCNN (2014)
Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
Fine-tuning of support vector machine parameters using racing algorithms. ESANN (2014)
Carlos Eduardo Castor de Melo, Ricardo B. C. Prudêncio
Similarity Measures of Algorithm Performance for Cost-Sensitive Scenarios. MetaSel@ECAI (2014)
Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
Active selection of training instances for a random forest meta-learner. IJCNN (2013)
Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros, Eduardo Henrique da Silva Aranha
Search based constrained test case selection using execution effort. Expert Syst. Appl. 40 (12) (2013)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio
Active testing for SVM parameter selection. IJCNN (2013)
Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
Proximity measures for link prediction based on temporal events. Expert Syst. Appl. 40 (16) (2013)
João Gomes, Ricardo B. C. Prudêncio, Luciano Meira, Alexandre Azevedo Filho, André C. A. Nascimento, Hilário Oliveira
Group Profiling for Understanding Educational Social Networking. SEKE (2013)
Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia de Almeida Barros
Using link structure to infer opinions in social networks. SMC (2012)
Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros
Leveraging relationships in social networks for sentiment analysis. WebMedia (2012)
Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros
Collective Classification for Sentiment Analysis in Social Networks. ICTAI (2012)
Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN (2012)